w Data Market Training

tag

  • Relevance classification subdivision forecast 
  • Logistic regression
  • excel Analysis Report
  • spss statistical analysis
  • EXCEL PivotTable
  • Excel Production Simulator
  • excel scattergram icon set (gradation) distinction method, conditional formatting formula = function method, three times the standard deviation method
  • Marketing analysis chart excel
  • logic function using excel

 

First, the era of big data: structured thinking

1. What is big data analytics

2. Mode logic tree analysis

3. Qualitative analysis and quantitative analysis

4. Data Scaling and basic metrics

5. Data preprocessing and "dirty" data processing

6. The main steps of the data check

7. It should be noted extract key data

8. Suitable methods for treating the specific value

Second, the social media era: precision marketing       

1.Web network analysis    

2. Digital Marketing New Trend   

3. The customer segmentation and Mining

4. New trends in marketing precision

The embodiment of system planning and implementation of data analysis       

RFM indicators 6. customer database analysis

7. Case-based clustering segmentation method of parsing

8. Logistic regression is the study of consumer brand preference

Third, build future tools: data mining applications

1. Classification Classification: your customers and customer classification

2, forecast Prediction: predict future sales and fraud, loss

3, segmentation Segmentation: the market, customer segmentation

4. Related Association: discover those goods they will be sold together or purchase

5, Sequence Sequence: identify patterns or trends of the time course

Fourth, the business intelligence: the level of business analysis

1, the analysis report (excel): to give you hindsight hindsight

2, statistical analysis (spss): to give you a head start foresight

3, data mining (Clementine): to give you insight into insight

Fifth, the "small" data analysis: market research

1. Introduction planning market research

2. conventional survey methods and survey methods online

3. How effective statistical sampling survey on

4. Sources of Error appreciated  

The cost of survey planning and control      

6. How to statistical sampling results

7. survey errors calculated by the confidence analysis

Sixth, business forecasting applications

Business forecasting is an important basis for decision making, the next time period can be estimated by predicting technology market size, market share, sales growth and increment and so on.

1. The forecasts are based on the theory

2. forecasting model introduced

3. different prediction models and the advantages and disadvantages of each choice

4. level and trend model (regression analysis)

5. season model (time series analysis)

6. How to assess the predicted deviation

Seven model introduced

1. Risk Analysis Model

2, credit scoring and rating models

3, customer segmentation model

4, descriptions and customer behavior analysis model

5, fraud prediction model

6, customer churn model

7, business analysis and performance analysis model

8, cross-sell and incremental sales models

Eight, data analysis tools: SPSS application  

A, describes the application of statistical analysis of the market

1, data analysis, basic theory

2, to achieve statistical analysis SPSS descriptive

Case: enterprise data collection and display  

 B, concluded that the application of statistical analysis of the market

1, to explore the relationship between things (such as the product of the variables) and metrics

2, using the relationship between a variable of variables to predict

Case: bad loans regression analysis and forecasting

3, using the model of development of things in the past to predict its future

Case: auto sales forecast decomposition

4. Implementation and time series forecasting regression analysis  

C, multivariate statistical analysis of market applications

1, to achieve SPSS cluster analysis and factor analysis of

Case: A business product type; multi-index performance evaluation of listed companies 

Nine, EXCEL: advanced data analysis application

. 1 , the EXCEL application PivotTable

2, produced by Excel simulator (control uses).

3 , scatter plots, icon set (gradation) distinction method, conditional formatting formula = function method, three times the standard deviation method

4 , Excel graphics performance technical marketing analysis

5, learn to use logical functions excel

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Origin blog.csdn.net/qq_32265719/article/details/103716696